


import os
import unittest

from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class        A     (		lowerCamelCase_	, unittest.TestCase	):







     '''simple docstring'''







     lowerCamelCase :						str            =   FunnelTokenizer
     lowerCamelCase :						str            =   FunnelTokenizerFast
     lowerCamelCase :						int            =   True
     lowerCamelCase :						Optional[int]            =   True

     def 					UpperCAmelCase__       (				self    :							Optional[Any]):
      super().setUp()

      _lowercase:       Tuple						=				[
          '<unk>',
          '<cls>',
          '<sep>',
          'want',
          '##want',
          '##ed',
          'wa',
          'un',
          'runn',
          '##ing',
          ',',
          'low',
          'lowest',
      ]
      _lowercase:       Dict						=				os.path.join(self.tmpdirname			,				VOCAB_FILES_NAMES["vocab_file"])
      with open(self.vocab_file			,				"w"			,				encoding="utf-8") as vocab_writer:
       vocab_writer.write("".join([x + "\n" for x in vocab_tokens]))

     def 					UpperCAmelCase__       (				self    :							Any			,				**_UpperCamelCase    :							Any):
      return FunnelTokenizer.from_pretrained(self.tmpdirname			,				**_UpperCamelCase)

     def 					UpperCAmelCase__       (				self    :							Union[str, Any]			,				**_UpperCamelCase    :							int):
      return FunnelTokenizerFast.from_pretrained(self.tmpdirname			,				**_UpperCamelCase)

     def 					UpperCAmelCase__       (				self    :							str			,				_UpperCamelCase    :							Union[str, Any]):
      _lowercase:       Union[str, Any]						=				'UNwant\u00E9d,running'
      _lowercase:       List[Any]						=				'unwanted, running'
      return input_text, output_text

     def 					UpperCAmelCase__       (				self    :							Tuple):
      _lowercase:       Dict						=				self.tokenizer_class(self.vocab_file)

      _lowercase:       Any						=				tokenizer.tokenize("UNwant\u00E9d,running")
      self.assertListEqual(_UpperCamelCase			,				["un", "##want", "##ed", ",", "runn", "##ing"])
      self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCamelCase)			,				[7, 4, 5, 10, 8, 9])






     def 					UpperCAmelCase__       (				self    :							str):
      _lowercase:       Dict						=				self.get_tokenizers(do_lower_case=_UpperCamelCase)
      for tokenizer in tokenizers:
       _lowercase:       Union[str, Any]						=				tokenizer("UNwant\u00E9d,running")
       _lowercase:       str						=				len(inputs["input_ids"]) - 1
       self.assertListEqual(inputs["token_type_ids"]			,				[2] + [0] * sentence_len)

       _lowercase:       Union[str, Any]						=				tokenizer("UNwant\u00E9d,running"			,				"UNwant\u00E9d,running")
       self.assertListEqual(inputs["token_type_ids"]			,				[2] + [0] * sentence_len + [1] * sentence_len)









"""simple docstring"""


from abc import ABC, abstractmethod
from argparse import ArgumentParser




class 						__UpperCamelCase     (     UpperCamelCase						):
					@staticmethod
					@abstractmethod
					def        UpperCAmelCase__ (							UpperCAmelCase							:	ArgumentParser   )	->       Optional[Any]:
											raise NotImplementedError()
					@abstractmethod
					def        UpperCAmelCase__ (							self							:	str   )	->       List[str]:
											raise NotImplementedError()